A researcher for an environmental agency is investigating fuel economy. He has developed a linear model for city gas mileage, g, in terms of the vehicle weight, w, in thousands of pounds using a representative sample of car types. The equation is g=−4.086w+32.96. Interpret the g-intercept of this equation.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
A researcher for an environmental agency is investigating fuel economy. He has developed a linear model for city gas mileage, g, in terms of the vehicle weight, w, in thousands of pounds using a representative sample of car types. The equation is g=−4.086w+32.96. Interpret the g-intercept of this equation.
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